Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12741C7762004C72F12038790B76272AA7BC30249B6045D6099FB8A3F99E4AC6C41F6A8 |
|
CONTENT
ssdeep
|
48:3X1nupgN1TNb2lc5wbUC9YAwTu0ZM7oH5GcnrxfQ7ToRQ:35udxD9uqcHlfQ7TaQ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
aa55bc4ec35302fc |
|
VISUAL
aHash
|
c4920e6c7011c3c3 |
|
VISUAL
dHash
|
0c2654c9e9651b27 |
|
VISUAL
wHash
|
c6d22e6c7d11c3c3 |
|
VISUAL
colorHash
|
30000c00000 |
|
VISUAL
cropResistant
|
a2a2a08e8f8c80a2,fb97aed9b264c8b4,0c2654c9e9651b27 |
Victim enters username and password into fake login form. Credentials are captured via JavaScript and exfiltrated to attacker's server in real-time.
Malicious code is obfuscated using 18 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)